Raisin
Donated on 8/13/2023
Images of the Kecimen and Besni raisin varieties were obtained with CVS. A total of 900 raisins were used, including 450 from both varieties, and 7 morphological features were extracted.
Dataset Characteristics
Multivariate
Subject Area
Biology
Associated Tasks
Classification
Feature Type
Real, Integer
# Instances
900
# Features
7
Dataset Information
Additional Information
Images of Kecimen and Besni raisin varieties grown in Turkey were obtained with CVS. A total of 900 raisin grains were used, including 450 pieces from both varieties. These images were subjected to various stages of pre-processing and 7 morphological features were extracted. These features have been classified using three different artificial intelligence techniques.
Has Missing Values?
No
Introductory Paper
By İ̇lkay Çinar, Murat Koklu, Sakir Tasdemir. 2020
Published in Gazi Journal of Engineering Sciences
Variables Table
| Variable Name | Role | Type | Description | Units | Missing Values |
|---|---|---|---|---|---|
| Area | Feature | Integer | Gives the number of pixels within the boundaries of the raisin. | no | |
| MajorAxisLength | Feature | Continuous | It measures the environment by calculating the distance between the boundaries of the raisin and the pixels around it. | no | |
| MinorAxisLength | Feature | Continuous | Gives the length of the main axis, which is the longest line that can be drawn on the raisin. | no | |
| Eccentricity | Feature | Continuous | Gives the length of the small axis, which is the shortest line that can be drawn on the raisin. | no | |
| ConvexArea | Feature | Integer | It gives a measure of the eccentricity of the ellipse, which has the same moments as raisins. | no | |
| Extent | Feature | Continuous | Gives the number of pixels of the smallest convex shell of the region formed by the raisin. | no | |
| Perimeter | Feature | Continuous | Gives the ratio of the region formed by the raisin to the total pixels in the bounding box. | no | |
| Class | Target | Categorical | Kecimen and Besni raisin. | no |
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Additional Variable Information
1.) Area: Gives the number of pixels within the boundaries of the raisin. 2.) Perimeter: It measures the environment by calculating the distance between the boundaries of the raisin and the pixels around it. 3.) MajorAxisLength: Gives the length of the main axis, which is the longest line that can be drawn on the raisin. 4.) MinorAxisLength: Gives the length of the small axis, which is the shortest line that can be drawn on the raisin. 5.) Eccentricity: It gives a measure of the eccentricity of the ellipse, which has the same moments as raisins. 6.) ConvexArea: Gives the number of pixels of the smallest convex shell of the region formed by the raisin. 7.) Extent: Gives the ratio of the region formed by the raisin to the total pixels in the bounding box. 8.) Class: Kecimen and Besni raisin.
Class Labels
Kecimen and Besni raisin
Reviews
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pip install ucimlrepo
from ucimlrepo import fetch_ucirepo # fetch dataset raisin = fetch_ucirepo(id=850) # data (as pandas dataframes) X = raisin.data.features y = raisin.data.targets # metadata print(raisin.metadata) # variable information print(raisin.variables)
Çinar,İ̇lkay, Koklu,Murat, and Tasdemir,Sakir. (2023). Raisin. UCI Machine Learning Repository. https://doi.org/10.24432/C5660T.
@misc{misc_raisin_850,
author = {Çinar,İ̇lkay, Koklu,Murat, and Tasdemir,Sakir},
title = {{Raisin}},
year = {2023},
howpublished = {UCI Machine Learning Repository},
note = {{DOI}: https://doi.org/10.24432/C5660T}
}Keywords
Creators
İ̇lkay Çinar
ilkay.cinar@selcuk.edu.tr
Selcuk University
Murat Koklu
mkoklu@selcuk.edu.tr
Selcuk University
Sakir Tasdemir
stasdemir@selcuk.edu.tr
Selcuk University
DOI
License
This dataset is licensed under a Creative Commons Attribution 4.0 International (CC BY 4.0) license.
This allows for the sharing and adaptation of the datasets for any purpose, provided that the appropriate credit is given.